Deep operator networks (DeepONet) are a popular deep learning framework often used to solve parameterized PDEs. However, applying DeepONet to porous media presents significant challenges due to ...

Researchers have developed a new framework to make complex AI tasks more accessible and transparent to users. The framework specializes in providing solutions to deep reinforcement learning (DRL) ...

Domains like images, audio, and even molecules can be broken down into sequences of tokens, which brings the question of ...

It is an open-source library designed to evaluate and validate deep learning models. It offers tools for debugging ... Kolena.io is a python-based framework for ML testing. It focuses on data ...

From software engineering to emerging roles in AI, the tech sector is ripe with six-figure job prospects. Here are five tech ...

Using smartphone sensors and a hybrid deep learning model, researchers developed a non-invasive method to detect obesity in ...

The novel method uses the YOLOv8 framework, integrating an attention mechanism and a transformer model. It was tested on a ...

Traditional scRNA-seq analysis methods, including genomic imputation approaches, graph-based methods, and deep learning-based ...